Liigu sisu juurde

Teadmiste raamatukogu

Kokkuvõtted ja põhiideed raamatutest, teadustöödest, artiklitest ja koodist, mida meie AI-agendid loevad. Need on koostanud Stratmilli uurimisagent. Igal lehel on link originaalile.

Quant Q&A
20,364 dokumenti
SuperMind
12,226 dokumenti
OKX Learn
8,431 dokumenti
Strategy library
7,910 dokumenti
MQL5 code base
7,090 dokumenti
BigQuant
3,481 dokumenti
Bitget Academy
3,298 dokumenti
MQL5 articles
3,012 dokumenti
TradingView scripts
1,976 dokumenti
ProRealCode
1,507 dokumenti
Deribit Insights
1,232 dokumenti
Machine Learning for Trading
1,124 dokumenti
arXiv papers
1,033 dokumenti
Amberdata research
766 dokumenti
FMZ forum
682 dokumenti
FMZ digest
662 dokumenti
vn.py community
560 dokumenti
QuantInsti blog
511 dokumenti
Galaxy Research
340 dokumenti
QuantStart
246 dokumenti
Stratmill research code
219 dokumenti
Robot Wealth
195 dokumenti
NautilusTrader
191 dokumenti
Hummingbot docs
181 dokumenti
Paradigm research
175 dokumenti
Lumibot
164 dokumenti
Kraken Learn
163 dokumenti
Kvantkursuste raamatukogu
157 dokumenti
OctoBot
152 dokumenti
Cryptohopper blog
144 dokumenti
Systematic trading blog (Rob Carver)
132 dokumenti
Qlib
116 dokumenti
Quantpedia
86 dokumenti
TqSdk
86 dokumenti
Hyperliquid docs
79 dokumenti
Freqtrade
68 dokumenti
Hudson & Thames
62 dokumenti
Awesome Systematic Trading
61 dokumenti
backtrader
54 dokumenti
vn.py
50 dokumenti
Quantopiani loengud
45 dokumenti
Binance API docs
45 dokumenti
FMZ guides
38 dokumenti
pysystemtrade
34 dokumenti
Freqtrade docs
32 dokumenti
quant-trading
31 dokumenti
FinRL
28 dokumenti
Zipline
22 dokumenti
FMZ live strategies
21 dokumenti
Jesse
17 dokumenti
pyfolio
16 dokumenti
Alphalens
14 dokumenti
WonderTrader
14 dokumenti
backtesting.py
11 dokumenti
Technical Analysis
9 dokumenti
QTPyLib
8 dokumenti
QuantRocket
7 dokumenti
Lumibot strategies
7 dokumenti
Awesome Quant
1 dokumenti

Otsi raamatukogust

20,364 dokumenti

Quant Q&A

The document derives the portfolio weights that maximize the Sharpe ratio for two risky assets with equal variances and a shared correlation, alongside a risk-free rate. It defines each asset’s excess return as its expected return minus the risk-free rate,…

Portfelli koostamineRiskijuhtimineStatistika
Quant Q&A

The discussion suggests testing a Merton jump-diffusion model on broad equity benchmarks and their exchange-traded funds, naming the Nasdaq, S&P 500, Russell 2000, and examples such as QQQ, SPY, and IWM. It notes that these liquid benchmarks can help compare…

OptsioonidAktsiadToorainedVolatiilsus
Quant Q&A

The document addresses how to simulate the terminal price of a geometric Brownian motion (GBM). It distinguishes the arithmetic mean and variance of the resulting lognormal price from the parameters required by a lognormal random-number generator, which are…

StatistikaTuletisinstrumentide hinnastamineTagantjärele testimine
Quant Q&A

The document explains why a listed stock may have no daily price record even when the exchange is open. A stock does not necessarily trade each day: if no buyer or seller submits an order that leads to a transaction, there may be no new trade price from…

AktsiadTuru mikrostruktuurUSA turud
Quant Q&A

The document explains how to turn irregular stock trade ticks into a regular time series using previous-tick interpolation. One approach converts epoch milliseconds to POSIX time, creates a five-minute grid, and uses interval lookup to select the latest…

KõrgsageduskauplemineTuru mikrostruktuurStatistika
Quant Q&A

The document explains why a futures backtest needs to model the transition from an expiring contract to a later-dated contract. A price difference between those contracts is not itself a trading gain or loss: a live trader closes the expiring position and…

FutuuridTagantjärele testimineCarry-strateegia
Quant Q&A

The document explains how to value a payoff based on the difference between a stock price at an intermediate date and its later price. It first clarifies that the stated payoff needs a positive-part operator to describe a put-like claim; under that…

OptsioonidTuletisinstrumentide hinnastamineVolatiilsus
Quant Q&A

The post questions a claim that puts are priced using historical volatility while calls use implied volatility, attributing the distinction to differences in liquidity. The reply challenges that framing: implied volatility is obtained by solving an…

OptsioonidVolatiilsusTuletisinstrumentide hinnastamine
Quant Q&A

The post considers how to compare profit factors across forex strategy runs when trades arrive in bursts. The author proposes treating nearby orders as one cluster and weighting each trade according to the number of subsequent orders within a short window. A…

ValuutaturgTagantjärele testiminePositsiooni suuruse määramineRiskijuhtimine
Quant Q&A

The post asks how to construct a CNY interest-rate swap curve that matches Bloomberg, focusing on discount factors beyond the short end. The author reports converting maturities through nine months with an Actual/360 simple discount formula, then using…

Fikseeritud tuluga väärtpaberidHiina turudTuletisinstrumentide hinnastamine
Quant Q&A

The document asks how to apply Itô’s lemma to an option value modeled as a function of time and a stock price. The stock has a drift that pulls its level toward a parameter P at a rate set by omega, and its diffusion term is proportional to the stock price.…

OptsioonidTuletisinstrumentide hinnastamineStatistika
Quant Q&A

The document asks whether option sellers should prefer very short expirations, where time decay is concentrated, or sell options with more time remaining. It uses an at-the-money straddle example to compare premiums at two expirations and observes that the…

OptsioonidVolatiilsusTehingute täitmine
Quant Q&A

The document works through pricing a claim that pays the cube root of the underlying asset at maturity. The asset is initially specified with mean-reverting drift and proportional diffusion, while a money-market account earns a constant rate. The proposed…

Tuletisinstrumentide hinnastamineOptsioonidStatistika
Quant Q&A

The document considers how to compare an at-the-money call with an out-of-the-money call when each has a different implied volatility. Its central point is that implied volatility is inferred from market prices through a pricing model, often one that assumes…

OptsioonidVolatiilsusTuletisinstrumentide hinnastamine
Quant Q&A

The document explains how to account for the parity ratio when using Black–Scholes to value a third-party warrant. Parity states how many warrants are needed to exercise the right to acquire one unit of the underlying. The answer converts the warrant price…

OptsioonidTuletisinstrumentide hinnastamineAktsiad
Quant Q&A

The document considers why a stock may show little price movement after an earnings announcement, including when the reported results appear favorable or unfavorable. It challenges the questioner’s suggestion that option sellers or market makers deliberately…

AktsiadSündmustepõhineOptsioonid
Quant Q&A

The document explains why Black–Scholes specifies a geometric Brownian motion (GBM) for the underlying even though option valuation is commonly expressed using risk-neutral probabilities. Its central point is that risk-neutral pricing does not remove the…

OptsioonidTuletisinstrumentide hinnastamineRiskijuhtimine
Quant Q&A

The answer explains how a very long time series can fail a stationarity test even when shorter sections pass. It uses two stationary sequences with different means as an illustration: joining them creates a series whose mean changes at the transition, so the…

Statistika
Quant Q&A

The answer addresses how to assemble a symbol list covering common stocks listed on Nasdaq and other U.S. exchanges. It recommends obtaining the Nasdaq-listed and other-listed directory files, then merging and sorting them, rather than relying on the single…

AktsiadUSA turud
Quant Q&A

The document distinguishes an ex ante return estimate based on assumed parameters from an ex post calculation using realized mean and risk. It gives a simple normal-distribution method for estimating the probability that a return falls below zero:…

StatistikaRiskijuhtimineTagantjärele testimine
Quant Q&A

The answer explains why local volatility (LV) can misprice double-no-touch options even though it produces random realized volatility along simulated paths. Each path integrates variance across the local volatility surface, so the realized volatility varies…

OptsioonidVolatiilsusTuletisinstrumentide hinnastamineRiskijuhtimine
Quant Q&A

The document concerns the pricing of foreign-exchange options with American-style barriers. The question contrasts closed-form formulas for European barrier calls and puts with the apparent lack of comparable guidance for American barriers. The response…

ValuutaturgOptsioonidTuletisinstrumentide hinnastamine
Quant Q&A

The document clarifies a terminology difference between trading practice and academic writing. At trading desks, “hedging” is commonly used for constructing a portfolio that replicates a derivative’s payoff. Academic papers more often call the same idea…

OptsioonidTuletisinstrumentide hinnastamineRiskijuhtimine
Quant Q&A

The document describes why a trader or product issuer might use a forward-starting option instead of a standard option. Such an option’s strike is set at a future date, so it mainly exposes the holder to volatility after that strike-setting date. It may be a…

OptsioonidVolatiilsusTuletisinstrumentide hinnastamineRiskijuhtimine